Universität Wien FIND

260312 VO+UE Scientific Computing (programming languages and tools, basic algorithms) (2008S)

4.00 ECTS (3.00 SWS), SPL 26 - Physik

Registration/Deregistration

Details

max. 20 participants
Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

Friday 07.03. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 14.03. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 21.03. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 28.03. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 04.04. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 11.04. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 18.04. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 25.04. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 02.05. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 09.05. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 16.05. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 23.05. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 30.05. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 06.06. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 13.06. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 20.06. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 27.06. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Information

Aims, contents and method of the course

"Scientific computing" is a scientific discipline in its own right, dealing with all aspects of the computer-based numerical, modeling, and simulation methods common to the various sub-fields of the natural sciences. However, also for the non-specialist, a basic knowledge of computational methods, and the ability to put them to meaningful use, are nowadays considered integral parts of a general scientific education.
Designed for second year students of scientific or medical/technical disciplines, this course offers a selection of the most basic numerical methods and introduces the tools necessary to implement the algorithms in software, analyze the results, and present them in graphical form - the typical steps required when preparing a lab report or writing up a diploma thesis.
The course is PC/Unix (Linux) oriented and largely based on public domain software. Topics covered are
* operating system
* programming languages
* scripting languages
* graphical representation
* scientific text processing
as well as numerical methods including
* numerical integration
* ordinary differential equations
* (simple) partial differential equations
* linear equations
* non-linear equations
* Fourier analysis
* curve fitting
* Monte Carlo methods
* simulation

Assessment and permitted materials

Minimum requirements and assessment criteria

Understanding of the course.

Examination topics

Corresponding to the type of the course

Reading list


Association in the course directory

PD250

Last modified: Th 05.09.2019 12:57